Virtual Camera Placement Using 3D Property Simulation
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Solution Overview
Problem
Existing camera placement methods for video security systems often result in inadequate image capture of secured areas, are difficult to adjust once mounted, and struggle to account for various scenarios and environmental factors, leading to inefficiencies and potential blind spots.
Innovation Solution
A virtual reality-based system generates a three-dimensional model of a property, simulates camera placements, and analyzes image data to optimize camera positions, considering factors like environmental obstructions and security requirements, before actual installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual installation and approximation methods are used for camera placement, then installation simplicity is maintained, but placement accuracy deteriorates resulting in blind spots and false positives/negatives
Solution Approach 1:
The patent creates a virtual copy of the physical property environment including walls, floors, ceilings, and objects. Virtual cameras are placed in this digital twin to simulate and evaluate placement options before physical installation, enabling precise determination of optimal camera positions without complex manual testing in the real world
Solution Approach 2:
The system performs preliminary evaluation of camera placements by simulating camera positions, fields of view, and coverage areas in the virtual environment before physical installation. This advance planning identifies optimal locations that satisfy coverage requirements while avoiding blind spots, eliminating the need for trial-and-error physical installation
2Measurement precision
If virtual simulation and analysis are performed to determine optimal camera placement, then placement accuracy is improved, but computational resources and time are consumed
Solution Approach 1:
The system evaluates a limited set of candidate camera locations rather than exhaustively testing every possible position. By identifying and evaluating only the most promising placements based on virtual simulation, the system achieves sufficient accuracy without consuming excessive computational time or resources
3Productivity
If virtual camera simulation is used to evaluate placement options, then the need for physical testing is reduced, but virtual model accuracy must be maintained
Solution Approach 1:
The virtual environment is created as an accurate digital twin of the physical property, incorporating precise geometric data of walls, floors, ceilings, and objects. This faithful reproduction ensures that simulation results reliably predict real-world camera performance, maintaining model fidelity while enabling efficient virtual evaluation
Solution Approach 2:
The system provides visual feedback showing the field of view and coverage area of virtual cameras in the simulated environment. This feedback mechanism allows verification that virtual placement predictions accurately reflect expected real-world performance, building confidence in the virtual simulation results
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for generating a placement of a camera. In some implementations, maintaining monitoring information of a property; generating a virtual model of a property; determining an initial placement location for a virtual camera in the virtual model; obtaining image data generated in the virtual model from the virtual camera placed at the initial placement location; analyzing the image data; determining, using the analysis of the image data, whether to identify an updated placement location; and providing the placement location for a physical camera at the property to a device using a result of the determination whether to identify the updated placement location.